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http://hdl.handle.net/10397/6895
Title: | Development of a noise reduction approach for vibration-based damage detection involving high-order derivatives | Authors: | Xu, H Cheng, L Su, Z |
Issue Date: | Dec-2011 | Source: | Dynamics for sustainable engineering : proceedings of the 14th Asia-Pacific Vibration Conference, 5-8 December 2011, Hong Kong, v. 1, p. 363-372 | Abstract: | To enhance the sensitivity of vibration-based identification techniques to damage of relatively small dimension, it is a common practice to explore higher-order derivatives of a captured vibration signal. However the measurement noise and uncertainties, inevitably contained in a vibration signal, can be fairly exacerbated during the differentiation process towards higher-order derivatives, masking damage-associated signal features and posing difficulty in signal interpretation. The objective of the present work is to examine variations of random measurement noise in such a differentiation process. A quantitative description of the noise influence, subject to various mathematic factors during the differentiation including differential intervals and initial noise level, was derived. A signal processing method based on low-pass wavenumber filtering was developed, to facilitate the de-noising treatment. As proof-of-concept validation, the proposed approach was employed 10 reduce measurement noise in vibration signals during detection of damage in a structural beam component. Thanks to the diversity of de-noising options, enhanced identification precision and accuracy over traditional de-noising endeavors was obtained. | Keywords: | Vibration-based damage detection Noise reduction High-order derivative Signal processing |
Publisher: | Department of Civil and Structural Engineering and Department of Mechanical Engineering, The Hong Kong Polytechnic University. | ISBN: | 978-962-367-731-8 | Rights: | Copyright ©2011 Department of Civil and Structural Engineering and Department of Mechanical Engineering, Hong Kong Polytechnic University Posted with permission of the publisher. |
Appears in Collections: | Conference Paper |
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File | Description | Size | Format | |
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Xu_Development_Noise_Reduction.pdf | 1.4 MB | Adobe PDF | View/Open |
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